What is he best known for?
The fields of study he is best known for:
- Statistics
- Management
- Civil engineering
Tarek Zayed mostly deals with Operations research, Data collection, Construction management, Civil engineering and Project management.
Tarek Zayed integrates Operations research with Productivity in his research.
The Construction management study combines topics in areas such as Order and Industrial organization.
The study incorporates disciplines such as Predictive modelling, Municipal engineers, Pipeline transport and Process in addition to Civil engineering.
His research integrates issues of Construction engineering, Analytic hierarchy process and Decision support system in his study of Project management.
Tarek Zayed focuses mostly in the field of Pile, narrowing it down to matters related to Maintainability and, in some cases, Operations management.
His most cited work include:
- Assessing risk and uncertainty inherent in Chinese highway projects using AHP (194 citations)
- Condition Rating Model for Underground Infrastructure Sustainable Water Mains (124 citations)
- Infrastructure Condition Prediction Models for Sustainable Sewer Pipelines (93 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Pipeline transport, Operations research, Civil engineering, Process and Condition assessment.
His Pipeline transport research also works with subjects such as
- Reliability engineering which connect with Fuzzy logic,
- Oil and gas pipelines most often made with reference to Petroleum engineering.
His studies deal with areas such as Ranking, Project management and Construction management as well as Operations research.
His Civil engineering research incorporates elements of Construction engineering, Municipal engineers and Data collection.
In his study, Tarek Zayed carries out multidisciplinary Process and Productivity research.
Within one scientific family, Tarek Zayed focuses on topics pertaining to Operations management under Analytic hierarchy process, and may sometimes address concerns connected to Decision support system.
He most often published in these fields:
- Pipeline transport (17.70%)
- Operations research (15.45%)
- Civil engineering (13.20%)
What were the highlights of his more recent work (between 2018-2021)?
- Pipeline transport (17.70%)
- Construction engineering (8.99%)
- Risk analysis (7.58%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Pipeline transport, Construction engineering, Risk analysis, Bridge and Reliability engineering.
His studies in Pipeline transport integrate themes in fields like Water supply, Systems engineering and Petroleum engineering.
His work in Water supply addresses subjects such as Environmental economics, which are connected to disciplines such as Asset management.
His study on Bridge is covered under Structural engineering.
His research in Reliability engineering tackles topics such as Fuzzy logic which are related to areas like Process.
His work deals with themes such as Ranking, Analytic network process, Measure and Operations research, which intersect with Process.
Between 2018 and 2021, his most popular works were:
- Development of sustainability assessment tool for existing buildings (49 citations)
- Prediction of maximum pitting corrosion depth in oil and gas pipelines (17 citations)
- Comparative analysis of modular construction practices in mainland China, Hong Kong and Singapore (14 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Management
- Artificial intelligence
Pipeline transport, Risk analysis, Ground-penetrating radar, Structural engineering and Genetic algorithm are his primary areas of study.
Tarek Zayed combines subjects such as Multi-objective optimization, Scheduling and Serviceability with his study of Pipeline transport.
He interconnects Building inspection and Efficient energy use in the investigation of issues within Risk analysis.
His Structural engineering research integrates issues from Radar and Visualization.
His Genetic algorithm research is multidisciplinary, incorporating elements of Stochastic modelling, Markov process, Particle swarm optimization and Reliability engineering, Downtime.
His study connects Process and Fuzzy logic.
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